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Optimal Allocations with $\alpha$-MaxMin Utilities, Choquet Expected Utilities, and Prospect Theory

Patrick Beißner and Jan Werner
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Patrick Beißner: Center for Mathematical Economics, Bielefeld University
Jan Werner: Center for Mathematical Economics, Bielefeld University

No 722, Center for Mathematical Economics Working Papers from Center for Mathematical Economics, Bielefeld University

Abstract: The analysis of optimal risk sharing has been thus far largely restricted to non-expected utility models with concave utility functions, where concavity is an expression of ambiguity aversion and/or risk aversion. This paper extends the analysis to $\alpha$-maxmin expected utility, Choquet expected utility, and Cumulative Prospect Theory, which accommodate ambiguity seeking and risk seeking attitudes. We introduce a novel methodology of quasidifferential calculus of Demyanov and Rubinov (1986, 1992) and argue that it is particularly well-suited for the analysis of these three classes of utility functions which are neither concave nor differentiable. We provide characterizations of quasidifferentials of these utility functions, derive first-order conditions for Pareto optimal allocations under uncertainty, and analyze implications of these conditions for risk sharing with and without aggregate risk.

Keywords: quasidifferential calculus; ambiguity; Pareto optimality; $\alpha$-MaxMin expected utility; Choquet expected utility; rank-dependent expected utility; Cumulative Prospect Theory (search for similar items in EconPapers)
Pages: 36
Date: 2025-07-18
New Economics Papers: this item is included in nep-mic and nep-upt
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https://pub.uni-bielefeld.de/download/3005286/3005287 First Version, 2022 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:bie:wpaper:722

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